← Shopify + AppDrag integrations

Update Row with AppDrag API on New Product Created (Instant) from Shopify API

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New Product Created (Instant) from the Shopify API
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Update Row with the AppDrag API
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Getting Started

This integration creates a workflow with a Shopify trigger and AppDrag action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Product Created (Instant) trigger
    1. Connect your Shopify account
    2. Optional- Configure Metafield Namespaces
    3. Optional- Configure Private Metafield Namespaces
  3. Configure the Update Row action
    1. Connect your AppDrag account
    2. Select a Table Name
    3. Select one or more Columns
    4. Configure Values
    5. Configure Where Condition
    6. Configure Where Values
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event for each product added to a store.
Version:0.0.4
Key:shopify_developer_app-new-product-created

Shopify Overview

The Shopify Admin REST & GraphQL API unleashes a myriad of possibilities to automate and enhance online store operations. It provides programmatic access to Shopify functionalities, allowing users to manage products, customers, orders, and more. Leveraging the Shopify Admin API within Pipedream, developers can create custom workflows that automate repetitive tasks, sync data across platforms, and respond dynamically to events in Shopify.

This integration can be used as a custom app on your store, or for automating actions on behalf of merchants through your Shopify app.

Looking for integrating into the Shopify Partner API for your apps, themes or referrals? Check out our Shopify Partner API integration.

Trigger Code

import constants from "../common/constants.mjs";
import common from "../common/webhook-metafields.mjs";

export default {
  ...common,
  key: "shopify_developer_app-new-product-created",
  name: "New Product Created (Instant)",
  type: "source",
  description: "Emit new event for each product added to a store.",
  version: "0.0.4",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getTopic() {
      return constants.EVENT_TOPIC.PRODUCTS_CREATE;
    },
    generateMeta(resource) {
      const ts = Date.parse(resource.created_at);
      return {
        id: resource.id,
        summary: `New Product ${resource.id}.`,
        ts,
      };
    },
  },
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
ShopifyappappThis component uses the Shopify app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
Metafield NamespacesmetafieldNamespacesstring[]

Array of namespaces for any metafields that should be included with each webhook. Metafield definitions can be found in your store's Settings -> Custom Data. Select a metafield to view its namespace under "Namespace and key". For example, if the value is custom.test_metafield, the namespace is custom.

Private Metafield NamespacesprivateMetafieldNamespacesstring[]

Array of namespaces for any private metafields that should be included with each webhook. Metafield definitions can be found in your store's Settings -> Custom Data. Select a metafield to view its namespace under "Namespace and key". For example, if the value is custom.test_metafield, the namespace is custom.

Trigger Authentication

Shopify uses API keys for authentication. When you connect your Shopify account, Pipedream securely stores the keys so you can easily authenticate to Shopify APIs in both code and no-code steps.

Get your Access Token

Create a custom app in Shopify to obtain your Admin API access token. See our detailed instructions here.

Enter your Admin API access token below, and save it in a secure location (we recommend using a password manager such as 1Password)

About Shopify

Shopify is a complete commerce platform that lets anyone start, manage, and grow a business. You can use Shopify to build an online store, manage sales, market to customers, and accept payments in digital and physical locations.

Action

Description:Updates a row in a cloud database table. [See the documentation](https://support.appdrag.com/doc/Appdrag-Cloudbackend-npm)
Version:0.0.1
Key:appdrag-update-row

AppDrag Overview

The AppDrag API lets you manage cloud functions, databases, and mail sending features within your AppDrag projects. With Pipedream, you can harness these capabilities to automate workflows such as syncing data between different platforms, processing form submissions, or triggering communication sequences. By connecting AppDrag’s API to Pipedream, you gain the ability to create serverless workflows that can respond to various triggers like webhooks, schedules, or even actions from other apps.

Action Code

import app from "../../appdrag.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "appdrag-update-row",
  name: "Update Row",
  description: "Updates a row in a cloud database table. [See the documentation](https://support.appdrag.com/doc/Appdrag-Cloudbackend-npm)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    table: {
      propDefinition: [
        app,
        "table",
      ],
    },
    columnsToUpdate: {
      description: "The name of the columns to update in the table. Eg. `[\"column1\", \"column2\"]`",
      propDefinition: [
        app,
        "columns",
        ({ table }) => ({
          table,
        }),
      ],
    },
    values: {
      type: "string[]",
      label: "Values",
      description: "The values to update in the table for each **Column**. Eg. `[\"value1\", \"value2\"]`",
    },
    whereCondition: {
      type: "string",
      label: "Where Condition",
      description: "In this expression you can write your own conditions (eg. `column1 = ? or column2 = ?`). Depending on the number of `?` symbols likewise you need to add the same number of **Where Values**.",
    },
    whereValues: {
      type: "string[]",
      label: "Where Values",
      description: "This is the list of **values** that will match every `?` symbol in the **Where Condition** expression. Eg. `[\"value1\", \"value2\"]`",
    },
  },
  methods: {
    updateRow({
      table, columnsToUpdate, values, whereCondition, whereValues, ...args
    } = {}) {
      return this.app.executeRawQuery({
        query: `
          UPDATE ${table}
            SET ${utils.parseArray(columnsToUpdate).map((column) => `${column} = ?`)}
            WHERE ${whereCondition}
        `,
        values: [
          ...utils.parseArray(values),
          ...utils.parseArray(whereValues),
        ],
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      updateRow,
      table,
      columnsToUpdate,
      values,
      whereCondition,
      whereValues,
    } = this;

    const response = await updateRow({
      step,
      table,
      columnsToUpdate,
      values,
      whereCondition,
      whereValues,
    });

    step.export("$summary", `Successfully updated row in table \`${table}\``);

    return response;
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
AppDragappappThis component uses the AppDrag app.
Table NametablestringSelect a value from the drop down menu.
ColumnscolumnsToUpdatestring[]Select a value from the drop down menu.
Valuesvaluesstring[]

The values to update in the table for each Column. Eg. ["value1", "value2"]

Where ConditionwhereConditionstring

In this expression you can write your own conditions (eg. column1 = ? or column2 = ?). Depending on the number of ? symbols likewise you need to add the same number of Where Values.

Where ValueswhereValuesstring[]

This is the list of values that will match every ? symbol in the Where Condition expression. Eg. ["value1", "value2"]

Action Authentication

AppDrag uses API keys for authentication. When you connect your AppDrag account, Pipedream securely stores the keys so you can easily authenticate to AppDrag APIs in both code and no-code steps.

About AppDrag

AppDrag is a serverless development platform made for enterprises.

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